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that accelerate AI/ML when applied to large scientific data sets; Energy efficient physics-aware algorithms, capable of distributed learning on high performance and edge computing; The design of architectures
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for the design and analysis of computational methods that accelerate data analytics and machine learning, especially as the apply to scalable high-performance computing, cloud computing, and large interconnected
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through the High Flux Isotope Reactor, the Radiochemical Engineering Development Center, ORNL's other nuclear facilities, and an assemblage of world-leading scientists and engineers. Please visit https
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through the High Flux Isotope Reactor, the Radiochemical Engineering Development Center, ORNL's other nuclear facilities, and an assemblage of world-leading scientists and engineers. Please visit https
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Ridge National Laboratory (ORNL) is seeking a staff fellow with expertise in machine learning and high performance computing to help develop high-fidelity computational tools that are used for large-scale
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Ridge National Laboratory (ORNL). The group is responsible for maintaining and improving fully integrated control systems for the SNS accelerator to ensure safe, high-reliability beam delivery
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program goals within time and resource restrictions. This is accomplished by assisting the 3047 Operations Task Leader and ensuring that all work is performed in accordance with applicable Nonreactor
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Requisition Id 15328 Overview: The National Center for Computational Sciences (NCCS) at Oak Ridge National Laboratory (ORNL) operates the fastest High Performance Computers (HPC) in the world. We
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Requisition Id 15329 Overview: The National Center for Computational Sciences (NCCS) at Oak Ridge National Laboratory (ORNL) operates the fastest High Performance Computers (HPC) in the world. We
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://www.ornl.gov/facility/mdf ) and the Carbon Fiber Technology Facility (https://www.ornl.gov/facility/cftf ) – as well as signature user facilities in high performance computing, neutron sciences, and other areas